Application of Process Monitoring Based on Inferential Measurement Approach

In this study, a new multivariate method to monitor continuous processes is developed based on the Process Control Analysis (PCA) framework. The objective of the study is to develop A new MSPM method and analyze the monitoring performance of system A and B. In industrial practice, monitoring process...

Full description

Bibliographic Details
Main Author:	Zaidi, Salim
Format:	Undergraduates Project Papers
Language:	English
Published:	2013
Subjects:	TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/7186/ http://umpir.ump.edu.my/id/eprint/7186/ http://umpir.ump.edu.my/id/eprint/7186/1/CD7118.pdf

id	ump-7186
recordtype	eprints
spelling	ump-71862015-03-03T09:34:40Z http://umpir.ump.edu.my/id/eprint/7186/ Application of Process Monitoring Based on Inferential Measurement Approach Zaidi, Salim TS Manufactures In this study, a new multivariate method to monitor continuous processes is developed based on the Process Control Analysis (PCA) framework. The objective of the study is to develop A new MSPM method and analyze the monitoring performance of system A and B. In industrial practice, monitoring process are usually performed based on an approximate model. As the number of variables increases, the fault detection performance tends to be slow in progression, as well as, introduce greater complexity in the later stages especially in fault identification and diagnosing. These research implements and analyzes Multiple Linear Regression (MLR) method to a continuous process which simplify the number of variables used. This research also based on the conventional MSPM technique. After that, the developed method was analyzed and finally, all the performance result of the developed method was compared with the conventional method. The monitoring results clearly demonstrate the superiority of the proposed method. The MLR methods show that the fault detection performance improved and better than the conventional method. 2013-02 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/7186/1/CD7118.pdf Zaidi, Salim (2013) Application of Process Monitoring Based on Inferential Measurement Approach. Faculty of Chemical and Natural Resources Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:75155&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TS Manufactures
spellingShingle	TS Manufactures Zaidi, Salim Application of Process Monitoring Based on Inferential Measurement Approach
description	In this study, a new multivariate method to monitor continuous processes is developed based on the Process Control Analysis (PCA) framework. The objective of the study is to develop A new MSPM method and analyze the monitoring performance of system A and B. In industrial practice, monitoring process are usually performed based on an approximate model. As the number of variables increases, the fault detection performance tends to be slow in progression, as well as, introduce greater complexity in the later stages especially in fault identification and diagnosing. These research implements and analyzes Multiple Linear Regression (MLR) method to a continuous process which simplify the number of variables used. This research also based on the conventional MSPM technique. After that, the developed method was analyzed and finally, all the performance result of the developed method was compared with the conventional method. The monitoring results clearly demonstrate the superiority of the proposed method. The MLR methods show that the fault detection performance improved and better than the conventional method.
format	Undergraduates Project Papers
author	Zaidi, Salim
author_facet	Zaidi, Salim
author_sort	Zaidi, Salim
title	Application of Process Monitoring Based on Inferential Measurement Approach
title_short	Application of Process Monitoring Based on Inferential Measurement Approach
title_full	Application of Process Monitoring Based on Inferential Measurement Approach
title_fullStr	Application of Process Monitoring Based on Inferential Measurement Approach
title_full_unstemmed	Application of Process Monitoring Based on Inferential Measurement Approach
title_sort	application of process monitoring based on inferential measurement approach
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/7186/ http://umpir.ump.edu.my/id/eprint/7186/ http://umpir.ump.edu.my/id/eprint/7186/1/CD7118.pdf
first_indexed	2023-09-18T22:03:39Z
last_indexed	2023-09-18T22:03:39Z
_version_	1777414564292329472

Application of Process Monitoring Based on Inferential Measurement Approach

Similar Items